Compressed sensing ghost imaging

Author: jytp

August undefined, 2024

WebNov 5, 2024 · B. Compressive sensing ghost imaging (CSGI) CSGI is an improvement of the technique of CGI based on. Compressive Sensing (CS), 3 which allows us to recover an image. WebJan 13, 2024 · Compressive ghost imaging (CGI) can effectively reduce the number of measurements required for ghost imaging reconstruction. In most cases, however, when using illumination patterns as measurement matrices, CGI has not demonstrated the ability to reconstruct high-quality images at an ultra-low sampling rate as perfect as claimed by …

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WebWe describe an advanced image reconstruction algorithm for pseudothermal ghost imaging, based on compressed sensing. Utilizing this algorithm, we experimentally demonstrate a … WebSep 30, 2009 · The algorithm is based on compressed sensing, a technique that enables the reconstruction of an N-pixel image from … caratheodory theorem extreme points

Ghost Imaging Based on Recurrent Neural Network

WebThis work experimentally demonstrates that the imaging quality of quantum ghost imaging (GI) with entangled photons can be significantly improved by properly handling the errors … WebJan 30, 2024 · Compressive sensing ghost imaging (CSGI) is an imaging mechanism that can nonlocally obtain an unknown object’s information with a single-pixel detector by … WebApr 1, 2024 · In this paper, the principle of compressive sensing ghost imaging is analyzed. And the total variation, the integral of image gradient, is used to optimize the … caratheodory theorem convex

Spectral analysis based on compressive sensing in nanophotonic …

Deep unfolding for singular value decomposition …

WebGhost imaging (also called "coincidence imaging", "two-photon imaging" or "correlated-photon imaging") is a technique that produces an image of an object by combining … WebApr 14, 2024 · The application of compressed sensing(GS) theory in ghost imaging reduces the sampling required for image reconstruction, thus improving the reconstruction efficiency. Due to its sparsity constraints on objects, the algorithm performs better on sparse and smooth images. Many studies have been carried out on sparse representation of … caratheodory solutionWebTo eliminate ghost effects, a compressed sensing (CS) pseudo-vertical velocity method is proposed. Based on pressure data acquired using a conventional acquisition configuration, the vertical component of particle velocity at the same receiver positions is estimated using an expanded CS deghosting method. The pseudo-vertical velocity data, combined with … caratheodory theorem probability

"WebThe quality of ghost imaging does not change much when the scattering is getting stronger, while that of traditional imaging declines dramatically. A concise model is developed to explain the superiority of ghost imaging. Due to its robustness against scattering, ghost imaging will be useful in harsh environment. 1. " - Compressed sensing ghost imaging

Compressed sensing ghost imaging

Bipolar compressive ghost imaging method to improve imaging …

WebWe describe an advanced image reconstruction algorithm for pseudothermal ghost imaging, based on compressed sensing. Utilizing this algorithm, we experimentally demonstrate a 10-fold reduction in the required acquisition … WebSep 5, 2024 · Image Reconstruction of Targets Undergoing Complex Motion Based on Optical Phased Array Compressed-Sensing Ghost Imaging Technology. Abstract: …

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WebApr 1, 2024 · 1. Introduction. Ghost imaging (GI) [1, 2], which is based on the quantum or classical correlation of fluctuating light fields, has attracted more and more attention and … WebArticles in the feature issue cover a broad scope of computational imaging topics, such as microscopy, 3D imaging, phase retrieval, non-line-of-sight imaging, imaging through scattering media, ghost imaging, compressed sensing, and applications with new types of …

WebJan 26, 2024 · Compressive ghost imaging (CGI) can effectively reduce the number of measurements required for ghost imaging reconstruction. In most cases, however, when using illumination patterns as measurement matrices, CGI has not demonstrated the ability to reconstruct high-quality images at an ultra-low sampling rate as perfect as claimed by … WebSep 3, 2024 · Comparison of imaging efficiency of different ghost imaging algorithms. Figure 1(a,b) show the schematic setup of traditional two-detector GI and computational …

WebGhost imaging (also called "coincidence imaging", "two-photon imaging" or "correlated-photon imaging") is a technique that produces an image of an object by combining information from two light detectors: a conventional, multi-pixel detector that doesn't view the object, and a single-pixel (bucket) detector that does view the object. Two techniques … WebAug 23, 2024 · The experimental results show that the proposed method outperforms existing deep learning and state-of-the-art compressed sensing methods used for ghost imaging under similar conditions.

WebDec 15, 2016 · In order to achieve this goal, people have proposed many methods such as N-order ghost imaging [16], [17], compressive ghost imaging [18], and differential ghost imaging [19]. Although these ghost-imaging technologies can achieve better imaging quality than the conventional ghost imaging (CGI), there still is a factor that prevents …

WebDec 3, 2024 · Beyond applications in imaging, compressive sensing has provided benefits to various other imaging applications such as microscopy 16,24, including fluorescence and hyperspectral imaging 9, remote ... caratheoryWebHere, we investigate the extent that $$ {\ell}_1 $$ -wavelet regularization, or equivalently compressed sensing (CS), combined with expanded encoding improves trade-offs between spatial resolution, readout time and SNR for single-shot spiral DWI at 7T. The reconstructions were performed using our open-source graphics processing unit-enabled ... cara therapeutics börse forumWebJan 30, 2024 · In this paper, we propose a compression sensing ghost imaging algorithm to reduce the computation time with high image quality via compression sensing based … caratheodory\\u0027s extension theoremWebMay 4, 2009 · The algorithm is based on compressed sensing, a technique that enables the reconstruction of an N-pixel image from much less than N measurements. We … caratheodory定理WebAdaptive compressive ghost imaging based on wavelet trees and sparse representation. Optics Express, 22(6), 7133--7144 (2014). ... Xu-Ri Yao, Xue-Feng Liu, Ling-An Wu, and Guang-JieZhai. Protocol based on compressed sensing for high-speed authentication and cryptographic key distribution over a multiparty optical network. Applied Optics, 52(33 ... caratheodory\\u0027s theoremWebSep 19, 2024 · The non-negativity of the measurement matrix in the traditional compressed ghost imaging system and iterative optimization process leads to low imaging quality and slow reconstruction speed. This paper proposes a singular value decomposition compressed ghost imaging method based on deep unfolding. The measurement … broad oak carmarthenshireWebAug 1, 2012 · In 2009, Katz et al. [17][18] [19] [20] proposed compressed ghost imaging (CGI) based on compressed sensing theory, which can achieve better reconstruction … cara therapeutics layoff